Leadership-Driven: Able to manage and direct teams to successful outcomes
Excellent Communication: Able to bridge technical & managerial teams
Polyglot Programmer: Interpret and consult in multiple codebases across teams
Problem-Solver: Building real-world solutions daily using logic and code
Full Stack: Understanding network, hardware, and software integrations
Organization: Precision planning and unparalleled project execution
Fast Learner: A very quick study & adaptive to new, ever-changing environments
Over 8 years experience engineering, coding, and deploying scalable Python applications.
Building tools and models to conceptualize and visualize actionable data.
Using Intelligent Process Automation to build smart systems and data ETL pipelines.
Over 10 years working in SQL and NoSQL database technologies.
Building UI/UX that bring applications to life for executive teams.
Using supervised learning to drive automation and AI initiatives.
Software Engineer II & Technical Product Manager
Data Science & Business Analytics @ Robinson Labs
C.H. Robinson Worldwide, Inc.
Eden Prairie, MN | 12/18 - Current
Central to my role is working with data scientists, data architects, DevOps, and other engineers in conceptualizing and programming software tools that assemble, wrangle and deliver data to and from internal and external resources.
As a Python-centric full stack engineer, I design and program scalable, Dockerized applications across on-prem and cloud-based Linux environments. Building on an array of data science models and machine learning tools, I rapidly prototype applications, create and maintain API services in a big data environment, and work within a variety of data warehouses and ETL pipelines.
Specific to my role as Product Manager of Bot Integrations and Intelligent Process Automation (IPA), I manage a highly-specialized team within data science that drives data science products to market. We deploy custom, scalable bots and AI-driven automation tools for account teams across the company. These applications mine, capture, sanitize and ingest data from disparate systems, make decisions based on supervised learning algorithms, and act autonomously on outcomes with little to no human intervention. Bots and operational AI have opened new revenue streams in very competitive markets by automating customer interactions, building efficiencies in decision-making across teams, and responding to market opportunities 24/7 with 100% coverage and engagement.
As the team’s automation lead, I work with executive leadership and internal teams to identify and plan new automation initiatives - bridging engineering, data science, business analytics, account teams, and IT groups in moving projects into production. As a "player/coach," I not only oversee the integrations team but also code extensively alongside our engineers and some of the most brilliant minds in data science.
I also head an internal team of software engineers to performance test and benchmark the company's data science products, such as pricing and rating services. My team is responsible for load testing and documenting the scalability of applications and developing benchmarking standards and analysis tools.